Riender Happee

Social Psychology · 2000–2020

A researcher in the Science corpus: 10 papers; trusts 16 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Social Psychology — 83 citations into it; #6,858 of 15,694 by trust here, #2,851 by citations
• Automotive Engineering — 51 citations into it; #2,997 of 3,081 by trust here, #958 by citations
• Safety, Risk, Reliability and Quality — 49 citations into it; #829 of 1,220 by trust here, #321 by citations
• Information Systems and Management — 32 citations into it
• Sociology and Political Science — 18 citations into it; #22,325 of 22,756 by trust here, #5,668 by citations
• Experimental and Cognitive Psychology — 11 citations into it
• Management Science and Operations Research — 11 citations into it
• Marketing — 11 citations into it

Whom Riender Happee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. J. D. de Winter
2. Christina M. Rudin-Brown
3. Beatrice Rammstedt
4. Neville A Stanton
5. V. Venkatesh
6. Thomas B. Sheridan
7. Raja Parasuraman
8. Fred D. Davis
9. Prateek Bansal
10. Natasha Merat

Who trusts Riender Happee overall

1. Miltos Kyriakidis
2. Sina Nordhoff
3. J. D. de Winter
4. Pavlo Bazilinskyy

Papers from Riender Happee's perspective

Ordered by how strongly the researchers Riender Happee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Humans and Automation: Use, Misuse, Disuse, Abuse
2. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
3. BEHAVIOURAL ADAPTATION TO ADAPTIVE CRUISE CONTROL (ACC): IMPLICATIONS FOR PREVENTIVE STRATEGIES
4. Trust in Automation: Designing for Appropriate Reliance
5. Handbook of Human Factors and Ergonomics
6. A proposed psychological model of driving automation
7. Automation spectrum, inner / outer compatibility and other potentially useful human factors concepts for assistance and automation
8. Highly Automated Driving, Secondary Task Performance, and Driver State (Hum. Factors)
9. Transition to manual: driver behaviour when resuming control from a highly automated vehicle
10. The effects of level of automation and adaptive automation on human performance, situation awareness and workload in a dynamic control task

Their papers

• Public opinion on automated driving: results of an international questionnaire among 5000 respondents (2015) — 1,297 citations
• Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence (2014) — 701 citations
• Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries (2020) — 216 citations
• External Human-Machine Interfaces on Automated Vehicles: Effects on Pedestrian Crossing Decisions (2019) — 336 citations
• A multi-level model on automated vehicle acceptance (MAVA): a review-based study (2019) — 164 citations
• Determinants of take-over time from automated driving: A meta-analysis of 129 studies (2019) — 390 citations
• Acceptance of Driverless Vehicles: Results from a Large Cross-National Questionnaire Study (2018) — 324 citations
• Human factors of transitions in automated driving: A general framework and literature survey (2016) — 208 citations
• Game theoretic approach for predictive lane-changing and car-following control (2015) — 322 citations
• MATHEMATICAL HUMAN BODY MODELS REPRESENTING A MID SIZE MALE AND A SMALL FEMALE FOR FRONTAL, LATERAL AND REARWARD IMPACT LOADING (2000) — 52 citations